Results 71 to 80 of about 2,663,123 (277)
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Explicit semantic stimulus categorization interferes with implicit emotion processing
, 2014 Previous functional magnetic resonance imaging and event-related brain potential studies revealed that performing a cognitive task may suppress the preferential processing of emotional stimuli. However, these studies utilized simple and artificial tasks (
Schmälzle, Ralf +2 more
core +1 more source
Here we provide materials, data, and analysis scripts (for R) used for analyses reported in: Wöhner, S., Luckow, J., Brandt, M., Stahlmann, J., Werwach, A., and Jescheniak, J. D. (2023).
Jörg D. Jescheniak +5 more
core +2 more sources
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
Advanced Robotics Research, EarlyView.A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
Image Semantics in the Description and Categorization of Journalistic Photographs [PDF]
, 2006 This paper reports a study on the description and categorization of images. The aim of the study was to evaluate existing indexing frameworks in the context of reportage photographs and to find out how the use of this particular image genre influences ...
Westman, Stina, Laine-Hernandez, Mari
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Semantic categorization of keywords in the English corpus.
, 2023 Semantic categorization of keywords in the English corpus.
Rukayah Alhedayani (15419030) +1 more
core +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Advanced Robotics Research, EarlyView.Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
, 2013 (A) Two block sequences (a, b) were counterbalanced for the two semantic categorization tasks, and between participants. Each semantic task consisted of 3 sets of 3 repeating blocks.
Noam Amir (504518) +4 more
core +1 more source